SWE Review 30B A3B GGUF
For a convenient overview and download list, visit our model page for this model.
Modellquelle
- Art
- Other
- Dateigröße
- 10,5–30,3 GB
- Basismodell
- Lego-X/SWE-Review-30B-A3B
- Version
- vRevision 83c1e93
- Aktualisiert
- 3. Okt. 2026
- Verleger
- @mradermacher
- Downloads
- 368
- Parameter
- 30B
- Quelle
- Hugging Face
Quellenbeschreibung
About
static quants of https://huggingface.co/Lego-X/SWE-Review-30B-A3B
For a convenient overview and download list, visit our model page for this model.
weighted/imatrix quants are available at https://huggingface.co/mradermacher/SWE-Review-30B-A3B-i1-GGUF
Usage
If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs for more details, including on how to concatenate multi-part files.
Provided Quants
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
| Link | Type | Size/GB | Notes |
|---|---|---|---|
| GGUF | Q2_K | 11.4 | |
| GGUF | Q3_K_S | 13.4 | |
| GGUF | Q3_K_M | 14.8 | lower quality |
| GGUF | Q3_K_L | 16.0 | |
| GGUF | IQ4_XS | 16.7 | |
| GGUF | Q4_K_S | 17.6 | fast, recommended |
| GGUF | Q4_K_M | 18.7 | fast, recommended |
| GGUF | Q5_K_S | 21.2 | |
| GGUF | Q5_K_M | 21.8 | |
| GGUF | Q6_K | 25.2 | very good quality |
| GGUF | Q8_0 | 32.6 | fast, best quality |
Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):
image.png
And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
FAQ / Model Request
See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.
Thanks
I thank my company, nethype GmbH, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time.
Quellen
1 Quelle
Quellen
1 QuelleVerifiziert 3. Okt.
Modellartefakte
11 Artefakte
Modellartefakte
11 ArtefakteSWE-Review-30B-A3B.IQ4_XS.gguf
gguf · 15,4 GB · SHA-256 978a191f699c…087d · Hugging Face
HerunterladenSWE-Review-30B-A3B.Q3_K_L.gguf
gguf · 14,8 GB · SHA-256 765c3865ce07…8aea · Hugging Face
HerunterladenSWE-Review-30B-A3B.Q3_K_M.gguf
gguf · 13,7 GB · SHA-256 b9b130d08088…4c25 · Hugging Face
HerunterladenSWE-Review-30B-A3B.Q3_K_S.gguf
gguf · 12,4 GB · SHA-256 3095171232a1…e70b · Hugging Face
HerunterladenSWE-Review-30B-A3B.Q4_K_M.gguf
gguf · 17,3 GB · SHA-256 6a92f807b7b9…bfab · Hugging Face
HerunterladenSWE-Review-30B-A3B.Q4_K_S.gguf
gguf · 16,3 GB · SHA-256 c3515e6233b6…f12e · Hugging Face
HerunterladenSWE-Review-30B-A3B.Q5_K_M.gguf
gguf · 20,2 GB · SHA-256 277488df5513…9b4d · Hugging Face
HerunterladenSWE-Review-30B-A3B.Q5_K_S.gguf
gguf · 19,6 GB · SHA-256 c1a81db5854c…6a44 · Hugging Face
HerunterladenQuellenauszüge
3 Auszüge
Quellenauszüge
3 Auszüge--- base_model: Lego-X/SWE-Review-30B-A3B language: - en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - code-review - software-engineering - swe-bench - agentic - moe --- ## About <!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: --> <!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS --> <!-- ### quants_skip: --> <!-- ### skip_mmproj: --> static quants of https://huggingface.co/Lego-X/SWE-Review-30B-A3B <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#SWE-Review-30B-A3B-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/SWE-Review-30B-A3B-i1-GGUF ## Usage If you are unsure how to use GGUF files, refer to one of [TheBloke's READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for more details, including on how to concatenate multi-part files. ## Provided Quants (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants) | Link | Type | Size/GB | Notes | |:-----|:-----|--------:|:------| | [GGUF](https://huggingface.co/mradermacher/SWE-Review-30B-A3B-GGUF/resolve/main/SWE-Review-30B-A3B.Q2_K.gguf) | Q2_K | 11.4 | | | [GGUF](https://huggingface.co/mradermacher/SWE-Review-30B-A3B-GGUF/resolve/main/SWE-Review-30B-A3B.Q3_K_S.gguf) | Q3_K_S | 13.4 | | | [GGUF](https://huggingface.co/mradermacher/SWE-Review-30B-A3B-GGUF/resolve/main/SWE-Review-30B-A3B.Q3_K_M.gguf) | Q3_K_M | 14.8 | lower quality | | [GGUF](https://huggingface.co/mradermacher/SWE-Review-30B-A3B-GGUF/resolve/main/SWE-Review-30B-A3B.Q3_K_L.gguf) | Q3_K_L | 16.0 | | | [GGUF](https://huggingface.co/mradermacher/SWE-Review-30B-A3B-GGUF/resolve/main/SWE-Review-30B-A3B.IQ4_XS.gguf) | IQ4_XS | 16.7 | | | [GGUF](https://huggingface.co/mradermacher/SWE-Review-30B-A3B-GGUF/resolve/main/SWE-Review-30B-A3B.Q4_K_S.gguf) | Q4_K_S | 17.6 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/SWE-Review-30B-A3B-GGUF/resolve/main/SWE-Review-30B-A3B.Q4_K_M.gguf) | Q4_K_M | 18.7 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/SWE-Review-30B-A3B-GGUF/resolve/main/SWE-Review-30B-A3B.Q5_K_S.gguf) | Q5_K...
--- base_model: SWE-Lego/SWE-Review-30B-A3B language: - en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - code-review - software-engineering - swe-bench - agentic - moe --- ## About <!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: --> <!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS --> <!-- ### quants_skip: --> <!-- ### skip_mmproj: --> static quants of https://huggingface.co/SWE-Lego/SWE-Review-30B-A3B <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#SWE-Review-30B-A3B-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/SWE-Review-30B-A3B-i1-GGUF ## Usage If you are unsure how to use GGUF files, refer to one of [TheBloke's READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for more details, including on how to concatenate multi-part files. ## Provided Quants (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants) | Link | Type | Size/GB | Notes | |:-----|:-----|--------:|:------| | [GGUF](https://huggingface.co/mradermacher/SWE-Review-30B-A3B-GGUF/resolve/main/SWE-Review-30B-A3B.Q2_K.gguf) | Q2_K | 11.4 | | | [GGUF](https://huggingface.co/mradermacher/SWE-Review-30B-A3B-GGUF/resolve/main/SWE-Review-30B-A3B.Q3_K_S.gguf) | Q3_K_S | 13.4 | | | [GGUF](https://huggingface.co/mradermacher/SWE-Review-30B-A3B-GGUF/resolve/main/SWE-Review-30B-A3B.Q3_K_M.gguf) | Q3_K_M | 14.8 | lower quality | | [GGUF](https://huggingface.co/mradermacher/SWE-Review-30B-A3B-GGUF/resolve/main/SWE-Review-30B-A3B.Q3_K_L.gguf) | Q3_K_L | 16.0 | | | [GGUF](https://huggingface.co/mradermacher/SWE-Review-30B-A3B-GGUF/resolve/main/SWE-Review-30B-A3B.IQ4_XS.gguf) | IQ4_XS | 16.7 | | | [GGUF](https://huggingface.co/mradermacher/SWE-Review-30B-A3B-GGUF/resolve/main/SWE-Review-30B-A3B.Q4_K_S.gguf) | Q4_K_S | 17.6 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/SWE-Review-30B-A3B-GGUF/resolve/main/SWE-Review-30B-A3B.Q4_K_M.gguf) | Q4_K_M | 18.7 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/SWE-Review-30B-A3B-GGUF/resolve/main/SWE-Review-30B-A3B.Q5_K_S.gguf) |...
Source context: 368 downloads · 0 likes · Library transformers · Repo mradermacher/SWE-Review-30B-A3B-GGUF
